{"id":5807,"date":"2021-05-09T17:43:45","date_gmt":"2021-05-09T09:43:45","guid":{"rendered":"https:\/\/www.mpfdiy.com\/?p=5807"},"modified":"2021-05-09T17:43:45","modified_gmt":"2021-05-09T09:43:45","slug":"%e5%bc%b7%e7%a9%8d%e9%87%91%e7%ad%96%e7%95%a5%e4%ba%a4%e6%b5%8130-%e7%ac%ac11%e6%8b%9b%e5%a4%9a%e9%87%8d%e6%88%b0%e8%a1%93%e7%ad%96%e7%95%a5","status":"publish","type":"post","link":"https:\/\/www.mpfdiy.com\/2021\/05\/%e5%bc%b7%e7%a9%8d%e9%87%91%e7%ad%96%e7%95%a5%e4%ba%a4%e6%b5%8130-%e7%ac%ac11%e6%8b%9b%e5%a4%9a%e9%87%8d%e6%88%b0%e8%a1%93%e7%ad%96%e7%95%a5\/","title":{"rendered":"\u5f37\u7a4d\u91d1\u7b56\u7565\u4ea4\u6d41#30 – \u7b2c11\u62db\u591a\u91cd\u6230\u8853\u7b56\u7565"},"content":{"rendered":"

\u5f37\u7a4d\u91d1\u7b56\u7565\u4ea4\u6d41#30 – \u7b2c11\u62db\u591a\u91cd\u6230\u8853\u7b56\u7565<\/span><\/strong><\/span><\/h2>\n

 <\/p>\n

 <\/p>\n

2020\u5e74\u8fb2\u66c6\u5e74\u4e09\u5341\u665a\u7684\u5922\u4e2d\u7d93\u6b77(\u898b\u6b64<\/a>) \uff0c\u4ee4\u7b46\u8005\u5c0d\u6295\u8cc7\u7b56\u7565\u6709\u7740\u5168\u65b0\u7684\u77e5\u8b58\u3002\u5982\u679c\u8981\u986f\u793a\u51fa\u4f86\u7684\u8a71\uff0c\u7b46\u8005\u6703\u7528\u4ee5\u4e0b\u5716\u8868\uff1a<\/span><\/p>\n

 <\/p>\n

\"<\/a><\/p>\n

 <\/p>\n

 <\/p>\n

\u5927\u5bb6\u7528\u7a4d\u91d1\u5927\u53cd\u64ca\u66f8\u4e2d\u7684\u7b2c7\u62db<\/span>\uff0c\u662f\u5148\u8a08\u7b97\u7b2c5\u62db\u53ca\u7b2c6\u62db\u7684\u56de\u5831\u53ca\u6ce2\u5e45\uff0c\u7136\u5f8c\u7528\u7b2c1\u62db\u5927\u5305\u570d(50\/50)\u00a0 \u6216\u7b2c3\u62db\u56de\u5831\u6ce2\u5e45\u512a\u5316\u4f86\u505a\u51fa\u8b8a\u5316\uff0c\u898b\u4e0b\u5716\uff1a<\/span><\/p>\n

 <\/p>\n

\"<\/a><\/p>\n

 <\/p>\n

 <\/p>\n

\u800c\u524d\u6587\u6240\u8ad6\u8ff0\u7684\u52d5\u529b\u5927\u5305\u570d<\/a>\uff0c\u5c31\u662f\u5728\u8a08\u7b97\u7b2c\u4e00\u5c64\u5927\u5305\u570d\u7b56\u7565\u4e4b\u5f8c\uff0c\u5728\u7b2c\u4e8c\u5c64\u518d\u7528\u7b2c6\u62db\u52d5\u529b\u6295\u8cc7\u7b56\u7565\uff0c\u591a\u91cd\u7d50\u5408<\/span>\u800c\u6210\uff0c\u898b\u4e0b\u5716\uff1a<\/span><\/p>\n

 <\/p>\n

\"<\/a><\/p>\n

 <\/p>\n

 <\/p>\n

\u7b46\u8005\u57282020\u5e74\u5922\u5883<\/a>\u4e4b\u5f8c\u6240\u5617\u8a66\u57f7\u884c\u7684\u7b2c11\u62db<\/a>\u591a\u91cd\u6230\u8853\u7b56\u7565\uff0c\u662f\u65bc\u7b2c\u4e00\u5c64<\/span>\u8a08\u7b97\u7b2c5,6,8,9,10 \u62db\u7684\u56de\u5831\u53ca\u6ce2\u5e45\uff0c\u518d\u65bc\u7b2c\u4e8c\u5c64<\/span>\u7528\u7b2c5\u62db\u79fb\u52d5\u5e73\u5747\u53ca\u7b2c6\u62db\u52d5\u529b\u6295\u8cc7\uff0c\u4e4b\u5f8c\u65bc\u7b2c\u4e09\u5c64<\/span>\u7528\u7b2c3\u62db\u56de\u5831\u6ce2\u5e45\u512a\u5316\u7b56\u7565\u800c\u6210\uff0c\u898b\u4e0b\u5716\uff1a<\/span><\/p>\n

 <\/p>\n

\"<\/a><\/p>\n

 <\/p>\n

 <\/p>\n

 <\/p>\n

\u7b2c11\u62db\u591a\u91cd\u6230\u8853\u7b56\u7565\u7684<\/span><\/strong>\u56de\u5831\u53ca\u6ce2\u5e45<\/strong>\u8868\u73fe\u5982\u4e0b\uff1a<\/span><\/p>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n\n
\u5e74\u5747\u56de\u5831\/\u6309\u6708\u6ce2\u5e45<\/td>\n\u7b2c11\u62db\u591a\u91cd\u6230\u8853\u7b56\u7565<\/strong><\/span><\/span><\/td>\n<\/tr>\n
\u9280\u806f<\/span><\/td>\n12.64%\/4.09% = 3.09<\/span><\/td>\n<\/tr>\n
\u6ed9\u8c50<\/span><\/td>\n11.34%\/3.73% = 3.04<\/span><\/td>\n<\/tr>\n
\u4fe1\u5b89800<\/span><\/td>\n10.60%\/4.10% = 2.59<\/span><\/td>\n<\/tr>\n
\u6c38\u660e\u5f69\u8679<\/span><\/td>\n12.86%\/3.81% = 3.38<\/span><\/td>\n<\/tr>\n
\u5b89\u806f<\/span><\/td>\n12.15%\/3.86% = 3.15<\/span><\/td>\n<\/tr>\n
\u5bcc\u9054<\/span><\/td>\n10.19%\/3.48% = 2.93<\/span><\/td>\n<\/tr>\n
\u4e2d\u9280\u4fdd\u8aa0\u7c21\u6613<\/span><\/td>\n9.63%\/3.86% = 2.49<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u75312004\u5e74\u81f32021\u5e743\u6708<\/p>\n

 <\/p>\n

\n

 <\/p>\n

\u9019\u500b\u591a\u91cd\u6230\u8853<\/span>\u7684\u7b56\u7565\u64cd\u4f5c\uff0c\u5c31\u662f\u5148\u7528\u5404\u6210\u4efd\u57fa\u91d1\u7684\u56de\u5831\u8868\u73fe\u5728\u70ba\u300c\u8f38\u5165<\/span>\uff0c\u653e\u5165\u7b2c\u4e00\u5c64\u7684\u4e0d\u540c\u7b56\u7565(\u7b2c1\u81f310\u62db) \u5f8c\u5f97\u51fa\u7b2c\u4e00\u5c64\u7684\u300c\u8f38\u51fa\u300d\u3002<\/span><\/p>\n

 <\/p>\n

\u6309\u7740\uff0c\u5728\u7b2c\u4e8c\u5c64<\/span>\u7528\u7b2c\u4e00\u5c64\u7684\u300c\u8f38\u51fa\u300d\u4f5c\u70ba\u7b2c\u4e8c\u5c64\u7b56\u7565\u7684\u300c\u8f38\u5165\u300d\uff0c\u653e\u5165\u7b2c\u4e8c\u5c64\u5404\u500b\u4e0d\u540c\u7684\u7b56\u7565\uff0c\u800c\u5f97\u51fa\u300c\u8f38\u51fa\u300d\u3002<\/span><\/p>\n

 <\/p>\n

\u5982\u662f\u8005\uff0c\u7b2c\u4e09\u5c64\uff0c\u7b2c\u56db\u5c64\uff0c\u751a\u81f3\u66f4\u6df1<\/span>\uff0c\u51fa\u73fe\u4e0b\u5716\uff1a<\/span><\/p>\n

 <\/p>\n

\"<\/a><\/p>\n

 <\/p>\n

 <\/p>\n

\u7b2c11\u62db\u591a\u91cd\u6230\u8853\u7b56\u7565\u7684\u5167\u5bb9\uff0c\u5c31\u597d\u50cfdeep learning \u7684layers \u53ca neurons \uff0c\u4e4b\u524d\u7b46\u8005\u96b1\u7d04\u9810\u671f\u5f37\u7a4d\u91d1\u7b56\u7565\u7684\u7a81\u7834\u9ede\uff0c\u5c31\u662f\u904b\u7528AI \u3002\u820a\u6709\u7684AI \u64cd\u4f5c\u65bc\u6295\u8cc7\u7684\u61c9\u7528\uff0c\u5927\u591a\u662f\u5c6c\u65bc\u512a\u5316\u7684\u4e00\u985e\uff0c\u7d50\u679c\u8207\u61c9\u7528genetic algorithm<\/a> \u4e00\u6a23\uff1b\u6216\u8005\u5076\u800c\u6703\u7528AI \u53bb\u4f5c\u70ba\u8fa8\u8a8d\u91cd\u8907\u7684\u6a21\u5f0f\uff0c\u53c8\u6216\u662f\u5984\u60f3\u7528AI \u505a\u9810\u6e2c\u3002<\/span><\/p>\n

 <\/p>\n

\u800c\u7b46\u8005\u5e74\u4e09\u5341\u665a\u5922\u5883\u51fa\u73fe\u7684\u7a81\u7834\u9ede<\/span>\uff0c\u662fAI \u7684\u53e6\u985e\u61c9\u7528\uff0c\u5c31\u662f\u5c07\u80fd\u5920\u63d0\u5347\u56de\u5831\u53ca\u6ce2\u5e45\u6bd4\u7387(risk adjusted return) \u7684\u5404\u7a2eTAA \uff0c\u4e92\u76f8\u4ea4\u758a\uff0c\u4e92\u76f8\u7cfe\u7e8f\u5730\u7522\u751f\u51fa\u7a81\u7834\u4e0a\u4e00\u5c64TAA \u8868\u73fe\u7684\u7bc0\u9ede\u3002<\/span><\/p>\n

 <\/p>\n

\u8907\u96dc\u9ede\u8aaa\uff0c\u662f\u5728\u540c\u4e00\u6642\u7a7a\u88cf\u88fd\u9020\u51fa\u591a\u91cd\u6642\u7a7a<\/span><\/span>\uff0c\u6bcf\u4e00\u6642\u7a7a\u90fd\u88dd\u8f09\u7740\u81ea\u6709\u7684\u56de\u5831\u53ca\u6ce2\u5e45\u6b77\u53f2\uff0c\u5728\u4e0d\u540c\u6642\u7a7a\u4e2d\u5f7c\u6b64\u4ea4\u758a\u7cfe\u7e8f\u7740\uff0c\u6211\u4e2d\u6709\u4f60\uff0c\u4f60\u4e2d\u6709\u6211\uff0c\u7522\u751f\u51fa\u6b77\u53f2\u4e0a\u4e0d\u540c\u56de\u5831\u53ca\u6ce2\u5e45\u7684\u53ef\u80fd\u6027\uff0c\u5341\u5206\u50cfAI \u7684Deep learning \u4e2d\u7684layer \u904e\u7a0b\u3002<\/span><\/p>\n

 <\/p>\n

\u56e0\u70ba\u5728\u7b2c11\u62db\u591a\u91cd\u6230\u8853\u7b56\u7565\u4e2d\u7684\u5404\u5c64\u8a08\u7b97\uff0c\u65e2\u53ef\u4ee5\u662f\u904e\u7a0b\u53c8\u53ef\u4ee5\u662f\u7d50\u679c\uff0c\u65e2\u662f\u8f38\u5165\u53c8\u662f\u8f38\u51fa\uff0c\u96e3\u5ea6\u4e0d\u5728\u65bc\u7522\u751f\u591a\u5c64\u7684\u56de\u5831\u53ca\u6ce2\u5e45\u7d50\u679c\uff0c\u800c\u662f\u5728\u65bc\u5982\u4f55\u6355\u6349\u51fa\u73fe\u65bc\u5404\u5c64\u8a08\u7b97\u5167\u8f03\u597d\u7684\u56de\u5831\u53ca\u6ce2\u5e45\u7d50\u679c\u3002<\/span><\/p>\n

 <\/p>\n

\"<\/p>\n

 <\/p>\n

 <\/p>\n

\u7528\u53e6\u4e00\u500b\u6bd4\u55bb\uff0c\u5c31\u662fCERN \u3002CERN \u662f\u4f4d\u65bc\u6b50\u6d32\u7684\u4e00\u500b\u79d1\u7814\u6a5f\u69cb\uff0c\u7528\u7c92\u5b50\u52a0\u901f\u5668\u649e\u6563\u7c92\u5b50\uff0c\u7136\u5f8c\u6355\u6349\u6563\u5c04\u51fa\u4f86\u7684\u57fa\u672c\u7c92\u5b50\u53bb\u505a\u7814\u7a76\u3002\u591a\u91cd\u6230\u8853\u7b56\u7565\u662f\u56de\u5831\u53ca\u6ce2\u5e45\u7684\u649e\u6563\u5668\uff0c\u7528\u4ea4\u758a\u7cfe\u7e8f\u7522\u751f\u51fa\u591a\u5c64\u7684\u56de\u5831\u53ca\u6ce2\u5e45\u7684\u7d50\u679c\uff0c\u7136\u5f8c\u627e\u51fa\u512a\u7570\u56de\u5831\u53ca\u6ce2\u5e45\u7684\u8def\u5f91\uff0c\u7e7c\u800c\u7528\u65bc\u5c07\u4f86\u3002\u4f46\u5230\u76ee\u524d\u70ba\u6b62\uff0c\u7b46\u8005\u9084\u672a\u80fd\u597d\u597d\u7684\u6355\u6349(capture) \u51fa\u73fe\u65bc\u5404\u5c64\u7684\u7d50\u679c\uff0c\u65bc\u662f\u66ab\u6642\u552f\u6709\u50cf\u73fe\u6709AI \u7684\u505a\u6cd5\uff0c\u53ea capture \u6700\u5f8c\u4e00\u5c64\u7684\u7d50\u679c\u3002<\/span><\/p>\n

 <\/p>\n

\"<\/a><\/p>\n

 <\/p>\n

 <\/p>\n

\u7b2c11\u62db\u7684\u4e09\u5c64\u505a\u6cd5\u5176\u5be6\u53ea\u662f\u591a\u91cd\u6230\u8853\u7b56\u7565<\/strong>\u7684\u5176\u4e2d\u4e00\u500b\u6355\u6349\uff0c\u7b2c7\u62db\u53ca\u52d5\u529b\u5927\u5305\u570d\u4e5f\u662f\u3002\u7b2c11\u62db\u53ef\u4ee5\u53bb\u9664\u5404\u7a2eTAA \u65bc\u55ae\u4e00\u5f37\u7a4d\u91d1\u8a08\u5283\u5167\u7684\u8868\u73fe\u7a1c\u89d2\uff0c\u4ee4\u56de\u5831\u53ca\u6ce2\u5e45\u66f4\u7a69\u5b9a\uff0c\u4ee4\u7b2c11\u62db\u6709\u6e3e\u7136\u5929\u6210\u7684\u8868\u73fe\u3002<\/span><\/p>\n

 <\/p>\n

 <\/p>\n

 <\/p>\n

\u5c0f\u7d50<\/strong><\/span><\/p>\n

 <\/p>\n

\u5927\u5bb6\u898b\u5230\u7b46\u8005\u65bc\u672c\u6587\u4e0d\u65b7\u7528\u5947\u602a\u7684\u6bd4\u55bb\u53ca\u865b\u6d6e\u7684\u6982\u5ff5\u53bb\u63cf\u8ff0\u7b2c11\u62db\u591a\u91cd\u6230\u8853\u7b56\u7565\uff0c\u5c31\u77e5\u9053\u7b2c11\u62db\u9019\u7a2e\u7531\u5922\u4e2d\u800c\u4f86\u7684\u65b0\u505a\u6cd5\uff0c\u9084\u672a\u6709\u5408\u9069\u7684\u8a9e\u8a00\u53ef\u4ee5\u53bb\u5b8c\u6574\u8868\u9054\u3002<\/span><\/p>\n

 <\/p>\n

\u5922\u4e2d\u7684\u4e8b\uff0c\u5f80\u5f80\u53ea\u80fd\u610f\u6703\uff1b\u7576\u8a9e\u8a00\u6b63\u5728\u4f11\u5047\u7684\u6642\u5019\uff0c\u5176\u5be6\u6211\u5011\u53ea\u6709\u4fdd\u6301\u6c89\u9ed8\u3002<\/span><\/p>\n

 <\/p>\n

 <\/p>\n

 <\/p>\n

 <\/p>\n

 <\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

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